Filtering Based Recursive Least Squares Algorithm for Multi-Input Multioutput Hammerstein Models

Ziyun Wang, Yan Wang and Zhicheng Ji

Mathematical Problems in Engineering, 2014, vol. 2014, 1-10

Abstract:

This paper considers the parameter estimation problem for Hammerstein multi-input multioutput finite impulse response (FIR-MA) systems. Filtered by the noise transfer function, the FIR-MA model is transformed into a controlled autoregressive model. The key-term variable separation principle is used to derive a data filtering based recursive least squares algorithm. The numerical examples confirm that the proposed algorithm can estimate parameters more accurately and has a higher computational efficiency compared with the recursive least squares algorithm.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:232848

DOI: 10.1155/2014/232848

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